This literature review examines the accuracy, error frequency, and the impact of workload and decision-making on the weather observations made by PAGASA synoptic station personnel in the Cordillera Administrative Region (CAR). The accuracy of weather data collected by PAGASA is critical for reliable forecasting and timely decision-making in various sectors, including agriculture, disaster management, and transportation. The review highlights key factors influencing data accuracy, such as instrument calibration and human error. Studies show that while the accuracy of weather observations is generally high, occasional discrepancies occur, often due to technical issues or human mistakes in data recording, especially during extreme weather events. The review also explores the frequency of errors in weather observation data. Research indicates that errors are infrequent, but they are more likely to occur during severe weather conditions or in cases of equipment malfunctions or power failures. Although external factors can occasionally disrupt the data collection process, the overall frequency of errors remains relatively low. Furthermore, the impact of workload and decision-making on the accuracy of observations is discussed. Heavy workloads during peak weather seasons and the pressure of rapid decision-making during extreme weather events were found to contribute to an increased likelihood of errors. Studies emphasize the importance of managing workload and decision-making stress to maintain the quality of data. The review concludes by suggesting that further research, training, and technological improvements are needed to enhance the accuracy and reliability of weather observations in PAGASA synoptic stations in CAR.
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